Francesc Wilhelmi

The information of several NACK packets is not clear, and some situations are missed. By improving the NACK system, we will be able to retrieve more meaningful information (e.g., hidden...

The Machine Learning Function Orchestrator (MLFO) is an element that is required to initialize, orchestrate and monitor the ML-based operation conducted in a WLAN or set of WLANs. The functions...

[ML-aware Architecture] Definition of the ML pipeline

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In order to execute the ML functionalities at the corresponding nodes/entities, the ML pipeline must be defined. Moreover, we must provide a clean separation of ML functionalities to be executed...

[Spatial Reuse] Add spatial reuse cases to the regression's script

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Use cases on spatial reuse should be added to the regression's script in order to automatically check the proper operation of Komondor adding new functionalities or modifying the code.

We aim to provide a clean separation of elements by defining structures with a clear purpose. For instance, separate nodes' configuration (features that can change during the simulation) and characteristics...

Right now, we are using the same method to identify packet losses and to check if a detected transmission can be decoded or not ("IsPacketLost()"). We should separate these two...

At this moment, all the learning/optimization methods are treated equally, thus providing the same (or similar) methods for initializing variables, keeping track of information, etc. Since different learning/optimization methods may...

At this moment, we are using the full number of console arguments to perform simulations through scripts. Despite a specific execution mode was provided in order to execute scripts in...

Previously, we had that different notifications were stored in different Notification objects (e.g., cts_notification, rts_notification, incoming_notification, etc.). We need to clarify this structure since some issues have appeared in this...